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By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
Tags : predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
     IBM
By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
Tags : predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
     IBM
By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Tags : data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
     IBM
By: IBM     Published Date: Apr 10, 2017
"Finding the right monetization model doesn’t have to be difficult... if you have the right provider. Identifying the right provider now is critical for your monetization strategy, even if it changes over time. Download this exclusive brochure from IBM Cloud Video’s OTT Success Series to learn: -The importance of planning for multiple billing and payment options across multiple international markets and currencies -The critical behind-the-scenes role of asset markup for dynamic advertising insertion -How to understand (and fulfill) metadata demands that differ by distribution avenue"
Tags : ibm cloud video, monetization model, billing, payment, metadata demands, distribution avenues, advertising
     IBM
By: IBM     Published Date: Apr 14, 2017
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection, metadata
     IBM
By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Tags : data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
     IBM
By: IBM     Published Date: Apr 19, 2017
Data is only as good as the insights it produces, the actions it influences, and the results it fosters. That’s the secret recipe for data management. Your business stakeholders depend on data-based insights to drive decisions and priorities throughout the organization. Insights based on sound data practices can give your business a competitive advantage in the marketplace. Is your data management system ready to support your business? Find out using Forrester’s Data Management Infrastructure Self-Assessment Tool. IBM has licensed this tool to help you identify the areas of strength and opportunities for improvement.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     IBM
By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
Tags : cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
     IBM
By: IBM     Published Date: May 09, 2017
Shifting business requirements for digital content and new technologies are changing the ECM market. This Magic Quadrant analyzes these dynamics, their impact on ECM vendors and their implications for application leaders in charge of content management.
Tags : technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
     IBM
By: IBM     Published Date: May 16, 2017
When the CMO Council recently asked more than 200 senior marketing decision makers how effectively they have aligned physical and digital experiences, half admitted that these integrated experiences were selective, at best. Yet it is alignment, consistency and connection that drive the foundational relationship between the brand and the buyer. The CMO Council, in partnership with IBM, will host a one-hour interactive webcast with industry-leading media, entertainment and telecommunications marketers to discuss how audience insights across the digital and physical experience have been turned into action, allowing these brands to personalize and enrich each engagement. Multiple case studies will also be discussed during the webcast that focus on the power of segmentation and innovations around cognitive computing.
Tags : technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
     IBM
By: IBM     Published Date: May 22, 2017
An investment firm is only as good as its data and its ability to leverage that data to make smart trades. A firm’s ability to differentiate itself in meeting market needs and bringing new products to market all hinge on its ability to squeeze maximum value out of all available data. But when it comes to implementing the right technology and processes to support a data-reliant business, those three factors present tremendous challenge
Tags : cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
     IBM
By: IBM     Published Date: May 23, 2017
This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.
Tags : encryption, application development, operating system, market intelligence, data governance, data migration, data quality, ibm
     IBM
By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : customer analytics, data matching, big data, competitive advantage, customer loyalty
     IBM
By: IBM     Published Date: Aug 30, 2017
DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en
Tags : devops, ibm, quality assurance, end-user devices, customer engagement
     IBM
By: IBM     Published Date: Oct 17, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive (MiFID2). Many of these new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data
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     IBM
By: IBM     Published Date: Oct 17, 2017
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
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     IBM
By: IBM     Published Date: Jun 25, 2018
A collaboration between IBM and CLS, the largest provider of settlement and risk mitigation services for the global foreign exchange market, showed how financial institutions can reap blockchain’s benefits by managing and minimizing risks to the existing business. Instead of a wholesale approach of replacing existing systems, new functionalities were gradually embedded into current processes, moving data from legacy systems to the new blockchain solution operating in parallel. Read this report to learn more about the ongoing CLS-IBM blockchain initiative and what drives the success of its commercial implementation. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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     IBM
By: IBM APAC     Published Date: Sep 25, 2017
As technology has progressed companies have always taken advantage of it to evolve how they engage with their customers. But today, something different, more fundamental is happening. How shoppers and buyers want to interact and transact with companies is changing dramatically, driven by the fusion of physical and digital channels.
Tags : technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
     IBM APAC
By: IBM Corp     Published Date: Sep 23, 2011
ESG Lab Validation Report - Reducing Storage Capacity and Costs without Compromise. Even with the plethora of storage efficiency technologies-such as deduplication and thin provisioning-available in the market today, users have not been able to stem the growth. This ESG Lab report looks at how IBM Real-time Compression can be used to reduce the cost of storing primary file data without impacting performance. The results of hands-on testing of IBM Real-time Compression Appliances performed by ESG at an IBM facility is used to demonstrate the value of non-disruptive deployment, loss-less capacity savings, real-time performance, and non-stop high availability.
Tags : ibm, esg, lab validation, storage capacity, real-time compression, technology
     IBM Corp
By: IBM Software     Published Date: Jul 28, 2010
This study highlights best practices from 72 companies to identify how best in class organizations use data to achieve superior performance.
Tags : ibm software, data driven marketing, best practice, performance, customer engagement, marketing measurement, data management, roi
     IBM Software
By: IBM Software     Published Date: Jul 29, 2010
This study highlights best practices from 72 companies to identify how best in class organizations use data to achieve superior performance.
Tags : ibm software, data driven marketing, best practice, performance, customer engagement, marketing measurement, data management, roi
     IBM Software
By: IBM Unica     Published Date: Sep 08, 2011
The survey found continued interest in many of the same issues, plus a more urgent need to turn data into action, increasing recognition of mobile's marketing power, and a desire for more integrated technology solutions.
Tags : ibm, unica, marketing, data-into-action, contact management, technology infractructure, roi, interactive marketing
     IBM Unica
By: IBM Unica     Published Date: Sep 08, 2011
The proliferation of marketing channels, and the explosion of data, pose a wealth of challenges for marketers making crucial calls for 2011. The results of Unica's annual survey of marketers reveal 11 key trends in marketing for 2011.
Tags : ibm, unica, marketing trends, annual survey, social media trends, cross-channel attribution, mobile application, social media
     IBM Unica
By: IBM Unica     Published Date: Sep 08, 2011
See what CI professionals are saying about their technology strategies and challenges: focusing on improving the customer experience, data and measurement challenges, plans for outsourcing online technologies, and current technology use and plans for future adoption.
Tags : ibm, unica, marketing, forrester, customer intelligence, ci professionals, data, mobile
     IBM Unica
By: IBM Unica     Published Date: Sep 08, 2011
This SiriusDecisions vendor profile features Unica, which offers a marketing automation platform that includes online and offline campaign management, Website and content personalization, activity-based campaign triggers, lead management, and customer data and Web analytics.
Tags : ibm, unica, siriusdecisions, vendor profile, field marketing, automation platforms, integrated enterprise, demand creation provider grid
     IBM Unica
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